Do you get excited by the prospect of using your data science skills to directly influence the next generation happiness? Then read on! 

Your team and responsibilities:

At BrandLoyalty we are dealing with a variety of (consumer and client-related) datasets. On one hand, you will be building models in the domain of “decision intelligence” – supporting your colleagues from the other departments, in making smarter and faster decisions. On the other hand, you will be building generalized models – to help our clients, some of the biggest retailers in the world, attain more loyal and happy customers. BrandLoyalty has recently set some huge sustainability-related targets for 2025. We want to contribute to a more sustainable future and commit to creating next generation happiness through our short-term loyalty campaigns. You will also be building models to help the organization achieve those targets, and become more responsible.

• Prototype, deploy, monitor, maintain, and improve the data science models;
• Engage broadly with the organization to identify, prioritize, frame, and structure complex and ambiguous challenges, where advanced analytics projects or tools can have the biggest impact;
• Identify and communicate the challenges and opportunities that the group should be working on;
• Help define the analytical direction and influence the direction of the associated engineering and infrastructure work;
• Articulate business questions and use mathematical techniques to arrive at an answer using data. Translate analysis results into business recommendations.

What qualities do you bring?

Seniority Level: Medior or Senior (depending on experience);

Minimum qualifications:

• Master's degree in Data Science, Computer Science, Econometrics, Artificial Intelligence, Applied Mathematics or equivalent;
• 2+ years of relevant work experience;
• Experience with statistical software (e.g., R, Python) and database languages (e.g. SQL).

Preferred qualifications:

• PhD in a STEM discipline, with a focus on data science/modelling;
• Experience designing and building statistical forecasting models, as well as machine learning models;
• Experience with distributed/cluster-computing frameworks (e.g. Spark);
• Knowledge of cloud platforms (e.g. Microsoft Azure);
• Excellent problem-framing, problem-solving, and project management skills;
• Collaborative team-member.
  

What do we offer?

Are you up for the challenge? BrandLoyalty wants you to have fun in your work, contribute to our growth and share the successes with your team/company. This is just a shortlist of what BrandLoyalty can offer you:

• Happy people: happy colleagues, happy consumers, happy clients!
• Personal & professional development opportunities within a multinational growth business;
• Work for a team with 50+ nationalities in over 55 countries around the world;
• Part of a Fortune 500 company... with an agile attitude;
• Exceptional terms of employment – compensation, on-site gym with personal trainers, healthy daily lunches cooked by an in-house team and spectacular team gatherings.

BrandLoyalty is known for being a diverse & inclusive workplace because we believe that this drives our purpose “Next Generation Happiness” and creates a better future every day for our employees, clients and partners. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression or disability.